Job Description :
The candidate is expected to have passion for optimization and automation of software solutions. The ideal candidate would possess a proven track record of implementation of the data-mart/data-warehousing solutions in an agile setting. The candidate must be able to work in very dynamic environment and think “outside the box”, while utilizing advanced abilities in data manipulation and transformation arena.

Technical Qualifications:
Advanced/Expert level experience in SAS.
Experience and good understanding of in ETL concepts.
Ability to model data for various purposes.
Experience in shell scripting/PERL or Python is a plus.
Intermediate to Advanced SQL (above basic skills
Experience with Netezza or Exadata is a plus.
Experience with enterprise job scheduling tools i.e. Autosys is a plus
Experience working/leading virtual teams is a strong plus
Degree in Computer Science, Engineering, Math or equivalent experience

Analyze requirements for implementation of various aspects of the data warehouse.
Design and implement ETL processes.
Utilize best practices for Unit Testing and anticipate points of failure. Implement appropriate error handling and audit logic where necessary.
Provision and implement configuration changes.
Troubleshoot process execution problems and work with other team members to correct them.
Tune existing solutions.